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Model comparison

Gemma 4 E2B vs Inkling

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

41.65/100
Margin
27.4pts
winning →
Thinking Machines Lab
69/100
1 category wins0 category wins

Verified leaderboard positions: Gemma 4 E2B unranked; Inkling #17

BenchAlign evidence: Gemma 4 E2B estimated; Inkling not scored. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemma 4 E2B and Inkling share 1 comparable benchmark result. 1 of 8 categories are comparable. 14 results are unique to Gemma 4 E2B; 15 to Inkling.

Updated July 15, 2026
Shared results
1
Gemma 4 E2B only
14
Inkling only
15
Comparable categories
1 / 8

Pick Inkling if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Inkling is clearly ahead on the provisional aggregate, 69 to 34. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Inkling is also the more expensive model on tokens at $1.87 input / $4.68 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 E2B. That is roughly Infinityx on output cost alone. Gemma 4 E2B is the reasoning model in the pair, while Inkling is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Inkling gives you the larger context window at 1M, compared with 128K for Gemma 4 E2B.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Gemma 4 E2B and Inkling
CategoryGemma 4 E2BΔInkling
KnowledgeGemma 4 E2B56.9Margin 5.2Inkling51.7
AgenticGemma 4 E2BNot measuredMarginNo overlapInkling69.4
CodingGemma 4 E2BNot measuredMarginNo overlapInkling68.6
MathGemma 4 E2BNot measuredMarginNo overlapInkling97.1
MultimodalGemma 4 E2BNot measuredMarginNo overlapInkling76.5
Inst. FollowingGemma 4 E2BNot measuredMarginNo overlapInkling79.8

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Gemma 4 E2BB · Inkling
  1. GPQA

    Knowledge
    Source ↗
    A 43.4%B 87.9%
    Winner: InklingΔ 44.5
    GPQA: Gemma 4 E2B scored 43.4%; Inkling scored 87.9%. Inkling wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGemma 4 E2BInklingComparison
Input / output priceUSD per 1M tokensGemma 4 E2B$0 input / $0 outputInkling$1.87 input / $4.68 outputGemma 4 E2B has the lower combined listed price.
Generation speedtokens per secondGemma 4 E2BNot availableInklingNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemma 4 E2BNot availableInklingNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemma 4 E2B128KInkling1MInkling lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemma 4 E2BInklingResult
τ²-bench resultsSource 20.8%Not comparable
Terminal-Bench 2.0Source 63.8%Not comparable
BrowseCompSource 77.1%Not comparable
MCP AtlasSource 74.1%Not comparable
Design Arena Agentic Web DevSource 1258Not comparable
Coding
BenchmarkGemma 4 E2BInklingResult
Terminal-Bench HardSource 3.0%Not comparable
AA-SciCodeSource 20.9%Not comparable
SWE-bench VerifiedSource 77.6%Not comparable
SWE-bench ProSource 54.3%Not comparable
Terminal-Bench 2.0Source 63.8%Not comparable
Reasoning
BenchmarkGemma 4 E2BInklingResult
AA-LCRSource 15.0%Not comparable
CritPtSource 0.0%Not comparable
KnowledgeGemma 4 E2B wins
BenchmarkGemma 4 E2BInklingResult
GPQASource 43.4%87.9%Inkling leads
MMLU-ProSource 60%Not comparable
Artificial Analysis Intelligence IndexSource 9.3%Not comparable
AA-GPQA DiamondSource 43.3%Not comparable
AA-HLESource 4.8%Not comparable
AA-Omniscience IndexSource -24.0%Not comparable
AA-Omniscience AccuracySource 6.7%Not comparable
AA-Omniscience Hallucination RateSource 32.9%Not comparable
GPQA-DSource 87.9%Not comparable
HLESource 46%Not comparable
HLE w/o toolsSource 30%Not comparable
Math
BenchmarkGemma 4 E2BInklingResult
AIME26Source 97.1%Not comparable
Multimodal
BenchmarkGemma 4 E2BInklingResult
AA-MMMU-ProSource 44.6%Not comparable
MMMU-ProSource 73.5%Not comparable
CharXivSource 82%Not comparable
CharXiv w/o toolsSource 78.1%Not comparable
Inst. Following
BenchmarkGemma 4 E2BInklingResult
AA-IFBenchSource 38.0%Not comparable
IFBenchSource 79.8%Not comparable
Frequently Asked Questions (2)

Which is better, Gemma 4 E2B or Inkling?

Inkling is ahead on BenchLM's provisional leaderboard, 69 to 34. The biggest single separator in this matchup is GPQA, where the scores are 43.4% and 87.9%.

Which is better for knowledge tasks, Gemma 4 E2B or Inkling?

Gemma 4 E2B has the edge for knowledge tasks in this comparison, averaging 56.9 versus 51.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.

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Last updated: July 15, 2026

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